Full-Stack AI Engineer

• Build and deploy AI-powered applications using modern software engineering methods.
• Integrate large language models and machine learning models into production environments.
• Develop intelligent AI features such as chatbots, semantic search, document intelligence, AI copilots, and workflow automation.
• Create scalable APIs to expose AI capabilities to applications.
• Build ETL pipelines and automate data ingestion, cleaning, validation, and versioning.
• Develop modern user interfaces and scalable backend services using technologies like React, Next.js, Python, and Node.js.
• Deploy applications with Docker and Kubernetes and build CI/CD pipelines for applications and AI models.
• Monitor infrastructure and model performance, improving latency, reliability, and cost efficiency.
• Implement security measures to protect data and support compliance with regulations like GDPR, HIPAA, and SOC 2.

• At least 3 years of software engineering experience with exposure to AI and machine learning systems.
• Experience building and deploying production AI applications and machine learning models.
• Strong skills in Python and JavaScript/TypeScript.
• Hands-on experience with OpenAI APIs, Hugging Face, PyTorch, and TensorFlow.
• Experience developing scalable REST APIs and front-end frameworks such as React, Next.js, or Vue.js.
• Strong SQL skills and experience with cloud databases like BigQuery, Snowflake, or Redshift.
• Familiarity with Docker, Kubernetes, CI/CD pipelines, vector databases, and AI inference services.

The role is full-time and remote, working US client business hours with some flexibility. The employer offers long-term career growth and progression opportunities into senior AI engineering and leadership roles.

Apply through the employer's official contact by submitting your application. After applying, you will receive an invitation to record a short introduction video via Spark Hire, which completes your application. The employer has not published a closing date.